docs: def _GetTfRecordEntries(self, path, max_entries, is_sequence,
                            iterator_options):
      """Extracts TFRecord examples into a dictionary of feature values.
  
      Args:
        path: The path to the TFRecord file(s).
        max_entries: The maximum number of examples to load.
        is_sequence: True if the input data from 'path' are tf.SequenceExamples,
             False if tf.Examples. Defaults to false.
        iterator_options: Options to pass to the iterator that reads the examples.
            Defaults to None.
  
      Returns:
        A tuple with two elements:
            - A dictionary of all features parsed thus far and arrays of their
              values.
            - The number of examples parsed.
      """
      return self._GetEntries([path], max_entries,
                              partial(
                                  tf.python_io.tf_record_iterator,
                                  options=iterator_options), is_sequence)